HackHive区块链健康检查器
HackHive Blockchain Health Checker (2024-03-17, Jupyter Notebook, 0KB, 下载0次)
该项目利用Spotify API和AWS Lambda来自动化数据提取，然后使用触发器进行无缝转换。哦...
This project leverages the Spotify API and AWS Lambda to automate data extraction, followed by seamless transformations using triggers. Organized storage on Amazon S3 and analytics table creation with AWS Glue and Athena provide a comprehensive data pipeline (2023-12-17, Jupyter Notebook, 0KB, 下载0次)
SignLingNet使用NASNetLarge和编码器-解码器LSTM从ASL视频中提取文本，，
SignLingNet Extracting Text from ASL Videos with NASNetLarge and Encoder Decoder LSTM,, (2023-09-10, Jupyter Notebook, 0KB, 下载0次)
该存储库包含一个使用NASNetLarge神经网络架构训练变分自动编码器（VAE）的脚本。scr…，
This repository contains a script for training a Variational Autoencoder (VAE) using the NASNetLarge neural network architecture. The scr…, (2023-09-10, Jupyter Notebook, 0KB, 下载0次)
使用物联网传感器和机器学习算法的智能灌溉系统可以帮助监测土壤湿度，以实现更好的水管理...，
Smart irrigation systems that use IoT sensors and machine learning algorithms can help monitor soil moisture for better water management and crop productivity. Cloud computing can also be utilized for remote data storage and processing, which eliminates the need for manual soil checking and minimizes crop damage from water supply failure. (2023-07-13, Jupyter Notebook, 0KB, 下载0次)
数据客户端和信息服务器、数据清理和屏蔽、数据挖掘算法和模型的系列实验...
Series of experiments on Data Clients and Information Servers, Data Cleaning and Munging, Algorithms and Models for Data Analysis, Learning and Prediction, Parallel text processing using MapReduce (MR) and Hadoop Distributed File System (HDFS), Parallel Graph Processing using Spark, Data Analytics Dashboard for Interacting with and Analyzing (2018-02-23, Jupyter Notebook, 30706KB, 下载0次)
客户机-服务器SQL数据库引擎努力实现企业数据的共享存储库。他们强调scalabi...
Client/server SQL database engines strive to implement a shared repository of enterprise data. They emphasize scalability, concurrency, centralization, and control. SQLite strives to provide local data storage for individual applications and devices. SQLite emphasizes economy, efficiency, reliability, independence, and simplicity. (2022-11-09, Jupyter Notebook, 70KB, 下载0次)
利用ML引擎和Google提供的云存储，在DEAP数据集上训练了一个实时EEG情感状态分类器...
An real-time EEG emotive-state classifier trained on DEAP dataset using ML Engine and Cloud Storage provided by Google Cloud Platform (2018-10-21, Jupyter Notebook, 7KB, 下载0次)